Evidence map›Paper›PMID 17628156›Full record

ArticleMethods in enzymology2007

Using two-component systems and other bacterial regulatory factors for the fabrication of synthetic genetic devices.

Alexander J Ninfa, Stephen Selinsky, Nicolas Perry, Stephen Atkins, Qi Xiu Song, Avi Mayo, David Arps, Peter Woolf, Mariette R Atkinson

Abstract read
In one paragraph

Article in Methods in enzymology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Prediction of Cellular Burden with Host-Circuit Models.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alexander J NinfaDepartment of Biological Chemistry, University of Michigan Medical School , Ann Arbor, Michigan, USA.
Stephen Selinsky
Nicolas Perry
Stephen Atkins
Qi Xiu Song
Avi Mayo
David Arps
Peter Woolf
Mariette R Atkinson

Funding

Genetic Systems Bioengineering for Escherichia coliR01GM063642 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NINFA, ALEXANDER J. · 2001 to 2009
$2.4M
NIGMS NIH HHS R01 GM063642
6 · The paper itself

Abstract

Synthetic biology is an emerging field in which the procedures and methods of engineering are extended living organisms, with the long-term goal of producing novel cell types that aid human society. For example, engineered cell types may sense a particular environment and express gene products that serve as an indicator of that environment or affect a change in that environment. While we are still some way from producing cells with significant practical applications, the immediate goals of synthetic biology are to develop a quantitative understanding of genetic circuitry and its interactions with the environment and to develop modular genetic circuitry derived from standard, interoperable parts that can be introduced into cells and result in some desired input/output function. Using an engineering approach, the input/output function of each modular element is characterized independently, providing a toolkit of elements that can be linked in different ways to provide various circuit topologies. The principle of modularity, yet largely unproven for biological systems, suggests that modules will function appropriately based on their design characteristics when combined into larger synthetic genetic devices. This modularity concept is similar to that used to develop large computer programs, where independent software modules can be independently developed and later combined into the final program. This chapter begins by pointing out the potential usefulness of two-component signal transduction systems for synthetic biology applications and describes our use of the Escherichia coli NRI/NRII (NtrC/NtrB) two-component system for the construction of a synthetic genetic oscillator and toggle switch for E. coli. Procedures for conducting measurements of oscillatory behavior and toggle switch behavior of these synthetic genetic devices are described. It then presents a brief overview of device fabrication strategy and tactics and presents a useful vector system for the construction of synthetic genetic modules and positioning these modules onto the bacterial chromosome in defined locations.

Indexed as

Bacterial Physiological PhenomenaGenes, SyntheticBacteriaCloning, MolecularGene Expression Regulation, BacterialGenotypeGlutamate-Ammonia LigaseModels, GeneticSignal TransductionGlutamate-Ammonia Ligase

Identifiers

PMID17628156
PMCPMC3052260

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.